Schooling, Income, and Health Risk Impact Evaluation Household Survey 2010, Round 3 (Midline)
Malawi, 2010
Get Microdata
Reference ID
MWI_2010_SIHRIE-R3_v01_M
Producer(s)
Berk Ozler, Sarah Baird, Craig McIntosh, Ephraim Chirwa
Metadata
Created on
Sep 16, 2015
Last modified
Sep 16, 2015
Page views
58195
Downloads
2118
- Data files
- baseline_controls_public
- SIHR3_PI_S1_public
- SIHR3_PI_S2_public
- SIHR3_PI_S3_public
- SIHR3_PI_S4_public
- SIHR3_PI_S5_public
- SIHR3_PI_S6a_public
- SIHR3_PI_S6b_public
- SIHR3_PI_S6c_public
- SIHR3_PI_S7_public
- SIHR3_PI_S8_public
- SIHR3_PII_S9A_public
- SIHR3_PII_S9B_public
- SIHR3_PII_S10A_public
- SIHR3_PII_S10B_public
- SIHR3_PII_S11A_public
- SIHR3_PII_S11B_public
- SIHR3_PII_S12_public
- SIHR3_PII_S13A_public
- SIHR3_PII_S13B_public
- SIHR3_PII_S14_public
- SIHR3_PII_S15A_public
- SIHR3_PII_S15B_public
- SIHR3_PII_S16_public
- SIHR3_PII_S17A_public
- SIHR3_PII_S17B_public
- SIHR3_PII_S18_public
- SIHR3_PII_S19_public
- SIHR3_PII_S20A_public
- SIHR3_PII_S20B_public
- SIHR3_PII_S20C_public
- SIHR3_PII_S21_public
- SIHR_identifiers
Estimated earnings April - June 2009 (s11q10b)
Data file: SIHR3_PII_S11A_public
Overview
Valid:
3583
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
54
End:
59
Width:
6
Range:
0 - 999999
Format:
Numeric
Questions and instructions
Literal question
Now, please think about all the work that you did in 2009. How much do you estimate that you earned in each of the following time periods?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 2946 |
82.2%
|
|
| 2 | 1 |
0%
|
|
| 40 | 1 |
0%
|
|
| 50 | 5 |
0.1%
|
|
| 60 | 1 |
0%
|
|
| 90 | 1 |
0%
|
|
| 100 | 16 |
0.4%
|
|
| 150 | 5 |
0.1%
|
|
| 200 | 40 |
1.1%
|
|
| 210 | 1 |
0%
|
|
| 250 | 12 |
0.3%
|
|
| 300 | 18 |
0.5%
|
|
| 350 | 5 |
0.1%
|
|
| 370 | 1 |
0%
|
|
| 400 | 17 |
0.5%
|
|
| 420 | 3 |
0.1%
|
|
| 450 | 4 |
0.1%
|
|
| 500 | 99 |
2.8%
|
|
| 525 | 1 |
0%
|
|
| 550 | 2 |
0.1%
|
|
| 600 | 11 |
0.3%
|
|
| 620 | 1 |
0%
|
|
| 650 | 3 |
0.1%
|
|
| 700 | 11 |
0.3%
|
|
| 740 | 1 |
0%
|
|
| 750 | 4 |
0.1%
|
|
| 800 | 20 |
0.6%
|
|
| 840 | 1 |
0%
|
|
| 900 | 6 |
0.2%
|
|
| 1000 | 87 |
2.4%
|
|
| 1100 | 2 |
0.1%
|
|
| 1200 | 5 |
0.1%
|
|
| 1260 | 1 |
0%
|
|
| 1300 | 2 |
0.1%
|
|
| 1400 | 3 |
0.1%
|
|
| 1500 | 37 |
1%
|
|
| 1600 | 3 |
0.1%
|
|
| 1680 | 3 |
0.1%
|
|
| 2000 | 54 |
1.5%
|
|
| 2100 | 6 |
0.2%
|
|
| 2150 | 1 |
0%
|
|
| 2200 | 1 |
0%
|
|
| 2400 | 3 |
0.1%
|
|
| 2500 | 15 |
0.4%
|
|
| 2600 | 1 |
0%
|
|
| 2700 | 1 |
0%
|
|
| 3000 | 28 |
0.8%
|
|
| 3500 | 7 |
0.2%
|
|
| 3600 | 4 |
0.1%
|
|
| 4000 | 10 |
0.3%
|
|
| 4500 | 7 |
0.2%
|
|
| 4800 | 1 |
0%
|
|
| 5000 | 11 |
0.3%
|
|
| 5460 | 1 |
0%
|
|
| 5700 | 1 |
0%
|
|
| 6000 | 12 |
0.3%
|
|
| 6300 | 1 |
0%
|
|
| 7000 | 1 |
0%
|
|
| 7500 | 3 |
0.1%
|
|
| 8000 | 1 |
0%
|
|
| 9000 | 3 |
0.1%
|
|
| 9800 | 1 |
0%
|
|
| 10000 | 1 |
0%
|
|
| 10500 | 1 |
0%
|
|
| 11000 | 1 |
0%
|
|
| 12000 | 3 |
0.1%
|
|
| 12500 | 1 |
0%
|
|
| 13500 | 1 |
0%
|
|
| 15000 | 6 |
0.2%
|
|
| 17000 | 1 |
0%
|
|
| 20000 | 4 |
0.1%
|
|
| 21000 | 2 |
0.1%
|
|
| 36000 | 1 |
0%
|
|
| 50000 | 1 |
0%
|
|
| 54000 | 2 |
0.1%
|
|
| 888888 | Don't know | 1 |
0%
|
| 999999 | Missing | 3 |
0.1%
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.